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» Feature Correspondence: A Markov Chain Monte Carlo Approach
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ICASSP
2011
IEEE
12 years 11 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
CIKM
2009
Springer
14 years 2 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
MICCAI
2007
Springer
14 years 8 months ago
SMT: Split and Merge Tractography for DT-MRI
Diffusion tensor magnetic resonance imaging (DT-MRI) based fiber tractography aims at reconstruction of the fiber network of brain. Most commonly employed techniques for fiber trac...
Ugur Bozkaya, Burak Acar
ICPR
2008
IEEE
14 years 1 months ago
Monocular 3D tracking of multiple interacting targets
In this paper, we present a new approach based on Markov Chain Monte Carlo(MCMC) for the stable monocular tracking of variable interacting targets in 3D space. The crucial problem...
Tatsuya Osawa, Kyoko Sudo, Hiroyuki Arai, Hideki K...
CSB
2003
IEEE
152views Bioinformatics» more  CSB 2003»
14 years 24 days ago
A Parallel Genetic Algorithm for Physical Mapping of Chromosomes
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...
Suchendra M. Bhandarkar, Jinling Huang, Jonathan A...